John Noll

1.7k citations
60 papers · 980 · h-index 17

Impact in

Papers in

John Noll

60 papers receiving 880 citations

Peers

John Noll
Comparison fields: 5 of 77
  • Computer Science Applications 302
  • Information Systems 609
  • Communication 160
  • Management Information Systems 149
  • Software 40
Replace Fabian Fagerholm with:
Fabian Fagerholm Finland
Fabio Calefato Italy
RadhaKanta Mahapatra United States
Michiel van Genuchten Netherlands
David Zubrow United States
Rosann Webb Collins United States
Diane B. Walz United States
Nathan Baddoo United Kingdom
A. César C. França Brazil
Sherlock A. Licorish New Zealand
John Noll relative to Fabian Fagerholm Finland Fabian Fagerholm's profile →
Citations per field
00.5×2.7×
Fabian Fagerholm · 1×
Citations per year

Countries citing papers authored by John Noll

Since Specialization
Citations

This map shows the geographic impact of John Noll's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Noll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Noll more than expected).

Fields of papers citing papers by John Noll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Noll. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Noll. The network helps show where John Noll may publish in the future.

Co-authors

The 25 scholars most cited alongside John Noll, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Noll Line = papers co-authored together John Noll links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010192
2 200295
3 197850
4 201548
5 201734
6 199129
7 199128
8 200128
9 199726
10 201426
11 201323
12 201721
13 201020
14 200618
15 201018
16 201818
17 201417
18 201116
19 201716
20 197614

About John Noll

John Noll is a scholar working on Information Systems, Computer Science Applications, Artificial Intelligence, Management Information Systems and Communication, having authored 60 papers that have together received 980 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (34 papers), Software Engineering Research (24 papers), Open Source Software Innovations (18 papers), Advanced Software Engineering Methodologies (10 papers), Business Process Modeling and Analysis (7 papers), Semantic Web and Ontologies (6 papers), Knowledge Management and Sharing (5 papers) and Software System Performance and Reliability (4 papers). The work is most often cited by research in Computer Science Applications (302 citations), Information Systems (609 citations), Communication (160 citations), Management Information Systems (149 citations) and Software (40 citations). John Noll has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Sarah Beecham, Ita Richardson, Walt Scacchi, Tony Clear, John Barr, Michael J. Oudshoorn, Mats Daniels, Starr Roxanne Hiltz, Edward A. Stohr and Douglas C. Engelbart. Their work appears in journals such as Computer, American Journal of Psychiatry, IEEE Software, Journal of Management Information Systems and Information and Software Technology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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